129 related articles for article (PubMed ID: 18707526)
1. Testing for environmentally induced bias in phenotypic estimates of natural selection: theory and practice.
Stinchcombe JR; Rutter MT; Burdick DS; Tiffin P; Rausher MD; Mauricio R
Am Nat; 2002 Oct; 160(4):511-23. PubMed ID: 18707526
[TBL] [Abstract][Full Text] [Related]
2. Natural selection, evolvability and bias due to environmental covariance in the field in an annual plant.
Winn AA
J Evol Biol; 2004 Sep; 17(5):1073-83. PubMed ID: 15312079
[TBL] [Abstract][Full Text] [Related]
3. Estimates of the average strength of natural selection are not inflated by sampling error or publication bias.
Knapczyk FN; Conner JK
Am Nat; 2007 Oct; 170(4):501-8. PubMed ID: 17891729
[TBL] [Abstract][Full Text] [Related]
4. Strong artificial selection in the wild results in predicted small evolutionary change.
Postma E; Visser J; Van Noordwijk AJ
J Evol Biol; 2007 Sep; 20(5):1823-32. PubMed ID: 17714300
[TBL] [Abstract][Full Text] [Related]
5. THE MEASUREMENT OF SELECTION ON QUANTITATIVE TRAITS: BIASES DUE TO ENVIRONMENTAL COVARIANCES BETWEEN TRAITS AND FITNESS.
Rausher MD
Evolution; 1992 Jun; 46(3):616-626. PubMed ID: 28568666
[TBL] [Abstract][Full Text] [Related]
6. Comparative methods with sampling error and within-species variation: contrasts revisited and revised.
Felsenstein J
Am Nat; 2008 Jun; 171(6):713-25. PubMed ID: 18419518
[TBL] [Abstract][Full Text] [Related]
7. The strength of phenotypic selection in natural populations.
Kingsolver JG; Hoekstra HE; Hoekstra JM; Berrigan D; Vignieri SN; Hill CE; Hoang A; Gibert P; Beerli P
Am Nat; 2001 Mar; 157(3):245-61. PubMed ID: 18707288
[TBL] [Abstract][Full Text] [Related]
8. Power and potential bias in field studies of natural selection.
Hersch EI; Phillips PC
Evolution; 2004 Mar; 58(3):479-85. PubMed ID: 15119432
[TBL] [Abstract][Full Text] [Related]
9. The misuse of BLUP in ecology and evolution.
Hadfield JD; Wilson AJ; Garant D; Sheldon BC; Kruuk LE
Am Nat; 2010 Jan; 175(1):116-25. PubMed ID: 19922262
[TBL] [Abstract][Full Text] [Related]
10. Prediction of response to marker-assisted and genomic selection using selection index theory.
Dekkers JC
J Anim Breed Genet; 2007 Dec; 124(6):331-41. PubMed ID: 18076470
[TBL] [Abstract][Full Text] [Related]
11. A tale of two matrices: multivariate approaches in evolutionary biology.
Blows MW
J Evol Biol; 2007 Jan; 20(1):1-8. PubMed ID: 17209986
[TBL] [Abstract][Full Text] [Related]
12. Estimating uncertainty in multivariate responses to selection.
Stinchcombe JR; Simonsen AK; Blows MW
Evolution; 2014 Apr; 68(4):1188-96. PubMed ID: 24274331
[TBL] [Abstract][Full Text] [Related]
13. Ascertainment bias in spatially structured populations: a case study in the eastern fence lizard.
Rosenblum EB; Novembre J
J Hered; 2007; 98(4):331-6. PubMed ID: 17611259
[TBL] [Abstract][Full Text] [Related]
14. Measurement of concurrent selection episodes.
Hamon TR
Evolution; 2005 May; 59(5):1096-103. PubMed ID: 16136807
[TBL] [Abstract][Full Text] [Related]
15. Evolutionary potential of a large marine vertebrate: quantitative genetic parameters in a wild population.
Dibattista JD; Feldheim KA; Garant D; Gruber SH; Hendry AP
Evolution; 2009 Apr; 63(4):1051-67. PubMed ID: 19236474
[TBL] [Abstract][Full Text] [Related]
16. Reducing environmental bias when measuring natural selection.
Scheiner SM; Donohue K; Dorn LA; Mazer SJ; Wolfe LM
Evolution; 2002 Nov; 56(11):2156-67. PubMed ID: 12487346
[TBL] [Abstract][Full Text] [Related]
17. Correlates of male fitness in captive zebra finches--a comparison of methods to disentangle genetic and environmental effects.
Bolund E; Schielzeth H; Forstmeier W
BMC Evol Biol; 2011 Nov; 11():327. PubMed ID: 22067225
[TBL] [Abstract][Full Text] [Related]
18. Estimating fitness consequences of dispersal: a road to 'know-where'? Non-random dispersal and the underestimation of dispersers' fitness.
Doligez B; Pärt T
J Anim Ecol; 2008 Nov; 77(6):1199-211. PubMed ID: 18808435
[TBL] [Abstract][Full Text] [Related]
19. Phenotypic selection on a heritable size trait revisited.
Kruuk LE; Merilä J; Sheldon BC
Am Nat; 2001 Dec; 158(6):557-71. PubMed ID: 18707351
[TBL] [Abstract][Full Text] [Related]
20. A selection-bias free method to estimate the prevalence of hypertension from an administrative primary health care database in the Girona Health Region, Spain.
Saez M; Barceló MA; Coll de Tuero G
Comput Methods Programs Biomed; 2009 Mar; 93(3):228-40. PubMed ID: 19059668
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
